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Bio

Summary
Kai Goebel is a deputy area lead of the Discovery and Systems Health Technology Area at NASA Ames Research Center. He also coordinates the Prognostics Center of Excellence and is the Technical Lead for Prognostics and Decision Making in NASAs System-wide Safety and Assurance Technologies Project. Prior to joining NASA in 2006, he was a senior research scientist at General Electric Corporate Research and Development center since 1997. Dr. Goebel received his Ph.D at the University of California at Berkeley in 1996. He has carried out applied research in the areas of real time monitoring, diagnostics, and prognostics and he has fielded numerous applications for aircraft engines, transportation systems, medical systems, and manufacturing systems. He holds 17 patents and has co-authored more than 250 technical papers in the field of IVHM. Dr. Goebel was an adjunct professor of the CS Department at Rensselaer Polytechnic Institute (RPI), Troy, NY, between 1998 and 2005 where he taught classes in Soft Computing and Applied Intelligent Reasoning Systems. He has been the co-advisor of 6 Ph.D. students. Dr. Goebel is a member of several professional societies, including ASME, AAAI, AIAA, IEEE, VDI, SAE, and ISO. He was the General Chair of the Annual Conference of the PHM Society, 2009, has given numerous invited and keynote talks and held many chair positions at the PHM conference and the AAAI Annual meetings series. He is currently member of the board of directors of the PHM Society and associate editor of the International Journal of PHM.

Academic Background

  • Diplom-Ingenieur in ME , Technische Universität München, 1990
  • M.S. in ME, University of California at Berkeley, 1993
  • Ph.D. in ME, University of California at Berkeley, 1996

Experience

  • Technical Lead - Prognostics and Decision Making, SSAT Project, AvSP Program ARMD, NASA, 2010 - present
  • Associate Principal Investigator - Prognostics, IVHM Project, AvSP Program, ARMD, NASA, 2008 - 2011
  • Senior Scientist, NASA Ames Research Center, Group Lead, Diagnostics & Prognostics Group, 2007 - present
  • Senior Scientist, RIACS, NASA Ames Research Center, Prognostics Center of Excellence, 2006 - 2007
  • Senior Research Scientist, GE Global Research – Niskayuna, NY, Project Management and Algorithm development. Focus on AI for Monitoring, Diagnostics & Prognostics. 1997-2006

Professional Memberships

  • SAE International, since 2011
  • International Organization for Standardization (ISO), since 2008
  • Institute of Electrical and Electronics Engineers (IEEE), since 2008
  • American Institute of Aeronautics and Astronautics (AIAA), since 2007
  • International Society for Optical Engineering (SPIE) since 2002
  • International Society for Information Fusion (ISIF) since 1999
  • American Association of Artificial Intelligence (AAAI) since 1994
  • Berkeley Initiative in Soft Computing (BISC) since 1994
  • American Society of Mechanical Engineers (ASME) since 1991
  • Verein Deutscher Ingenieure (VDI) since 1989

Adjunct Professorship

  • Rensselear Polytechnic Institute, Computer Science Department, since Fall 1998. Instructor for class “Soft Computing” and “Automated Intelligent Reasoning Systems”
  • Georgia Institute of Technology, instructor, short course on Fault Diagnostics/Prognostics for Machine Health Maintenance, since 2001
  • Ph.D. thesis committee member for Weizhong Yan (RPI, 2003), Wenhui Liao (RPI, 2006), Kalyan Veeramachaneni (Syracuse, 2009)
  • University of California at Berkeley, Guest Lecture, Expert Systems in Mechanical Engineering, Computational Intelligence for Equipment Service, Spring 2005
  • University of Maryland, Guest Lecture, Prognostics and Health Management, Methods for Making Predictions, Fall 2006, 2007

Professional Committee Work

  • SAE - IVHM Working Group Member
  • PHM Society - Board of Directors, NASA Liaison
  • Annual Conference of the PHM Society 2009 - General Chair
  • International Journal for PHM - Associate Editor
  • International Standardization Organization - Prognostics Working Group Member
  • International Conference on Prognostics and Health Management 2008 - Publicity Chair
  • Artificial Intelligence in Engineering Design, Automation, and Manufacturing (AIEDAM) - Guest editor, special issue: AI in Equipment Service
  • American Association of Artificial Intelligence - Organizer and symposium chair, AAAI Annual Spring meeting, 1999, 2002, 2007
  • International Society for Optical Engineering (SPIE) - Program chair, SPIE conference on Information Fusion, 1999, 2000, 2001, 2002, 2003, 2004, 2005
  • International Society of Information Fusion (ISIF), 1999 - Invited session organizer, 2nd International Conference on Information Fusion (Fusion ’99)
  • Berkeley Initiative in Soft Computing (BISC) - Invited seminar, 1995
  • Student Pugwash, Berkeley Chapter, 1996-1997
  • All publications

    Select Publications

    Here is my h-index

    A Survey of Artificial Intelligence for Prognostics
    Schwabacher, Goebel
    Review of methods with AI flavor applied to Prognostics

    Fusing Competing Prediction Algorithms for Prognostics
    Goebel, Eklund, Bonanni
    Paper describes a model-based and a data-driven and a model-based prognostic algorithm and a mechanism to combine the estimates using Dempster-Shafer

    Prognostics in Battery Health Management
    Paper describes methods for prediction of remaining useful life applied to real data from batteries

    Towards an Integrated Reasoner for Bearings Prognostics
    Goebel, Bonanni, Eklund
    Paper outlines an architecture for in-flight bearing prognostics

    When will it break?
    Bonissone, Goebel
    Data-driven prognostics for constant load systems taking advantage of a set of run-to-failure trajectories


    View Kai Goebel's profile on LinkedIn

Contact

Deputy Area Lead
Discovery and Systems Health
Intelligent Systems Division
Coordinator
Prognostics Center of Excellence

Ames Research Center
Mail Stop MS 269-4
Moffett Field, CA 94035

Phone: (650) 604-4204
Fax: (650) 604-4036

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